Evidence map›Paper›PMID 37012285›Full record

ArticleNPJ biofilms and microbiomes2023

Ecological change of the gut microbiota during pregnancy and progression to dyslipidemia.

Xu Yang, Mingzhi Zhang, Yuqing Zhang, Hongcheng Wei, Quanquan Guan, Chao Dong, Siting Deng, Hein Min Tun, Yankai Xia

Open access · goldAbstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Xu Yang *State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Mingzhi Zhang *State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Yuqing ZhangWomen's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
Hongcheng WeiState Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Quanquan GuanState Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Chao DongState Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Siting DengState Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.
Hein Min TunThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-7597-5062
Yankai XiaState Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, China. yankaixia@njmu.edu.cn.ORCID 0000-0003-0484-4035
Nanjing Medical University · CNChinese University of Hong Kong · HKMinistry of Education · KRNanjing Maternity and Child Health Care Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The composition of the gut microbiome was previously found to be associated with clinical responses to dyslipidemia, but there is limited consensus on the dynamic change of the gut microbiota during pregnancy and the specific microbiome characteristics linked to dyslipidemia in pregnant women. We collected fecal samples from 513 pregnant women at multiple time points during pregnancy in a prospective cohort. Taxonomic composition and functional annotations were determined by 16S rRNA amplicon sequencing and shotgun metagenomic sequencing. The predictive potential of gut microbiota on the risk of dyslipidemia was determined. The gut microbiome underwent dynamic changes during pregnancy, with significantly lower alpha diversity observed in dyslipidemic patients compared to their healthy counterparts. Several genera, including Bacteroides, Paraprevotella, Alistipes, Christensenellaceae R7 group, Clostridia UCG-014, and UCG-002 were negatively associated with lipid profiles and dyslipidemia. Further metagenomic analysis recognized a common set of pathways involved in gastrointestinal inflammation, where disease-specific microbes played an important role. Machine learning analysis confirmed the link between the microbiome and its progression to dyslipidemia, with a micro-averaged AUC of 0.824 (95% CI: 0.782-0.855) combined with blood biochemical data. Overall, the human gut microbiome, including Alistipes and Bacteroides, was associated with the lipid profile and maternal dyslipidemia during pregnancy by perturbing inflammatory functional pathways. Gut microbiota combined with blood biochemical data at the mid-pregnancy stage could predict the risk of dyslipidemia in late pregnancy. Therefore, the gut microbiota may represent a potential noninvasive diagnostic and therapeutic strategy for preventing dyslipidemia in pregnancy.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaBacteroidetesFemaleHumansLipidsPregnancyProspective StudiesRNA, Ribosomal, 16SLipidsRNA, Ribosomal, 16S

Identifiers

PMID37012285
PMCPMC10070613
OpenAlexW4362521102

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.